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LAPRAS MCP Server

by lapras-inc

The LAPRAS MCP Server is the official server for Lapras. It allows you to search for jobs, retrieve job details, and manage your career history using tools integrated with the Lapras platform.

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What is LAPRAS MCP Server?

The LAPRAS MCP Server is a server that integrates with the LAPRAS platform to provide job search and career management functionalities. It allows users to interact with LAPRAS services through a command-line interface or other integrations.

How to use LAPRAS MCP Server?

The server can be set up using either npx or Docker. Configuration involves adding the server details to mcp.json or claude_desktop_config.json and providing a LAPRAS API key (if using career-related tools). Example configurations for both npx and Docker are provided in the README.

Key features of LAPRAS MCP Server

  • Job search with keywords and filters

  • Retrieval of detailed job information

  • Access to LAPRAS career history

  • Integration with AI models for job recommendations

  • Career history update functionality

Use cases of LAPRAS MCP Server

  • Finding remote Rust backend jobs with a minimum salary

  • Searching for jobs matching a user's career history (provided as an image or URL)

  • Searching for jobs based on a user's LAPRAS career history

  • Updating a user's LAPRAS career history

  • Improving a user's LAPRAS career history through AI-driven suggestions

FAQ from LAPRAS MCP Server

What is the LAPRAS API Key used for?

The LAPRAS API key is required to use the career history-related tools, such as retrieving and updating your career information.

Where can I get the LAPRAS API Key?

You can obtain the API key from https://lapras.com/config/api-key.

What should I be aware of when using AI with the MCP Server?

Be aware that information retrieved from LAPRAS (including personal information) will be sent to and processed by the AI model you are using. Review the AI service's data handling policies and exercise caution with personal and confidential information.

What tools are available?

The available tools include search_job for searching jobs, get_job_detail for retrieving job details, and get_experiences for retrieving career history.

What if the server connection fails when using npx?

If you encounter server connection issues with npx, try using the Docker setup instead.